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www.thanassis.space
| | siboehm.com

In this post, I'll iteratively optimize an implementation of matrix multiplication written in CUDA.My goal is not to build a cuBLAS replacement, but to deepl...
3.6 parsecs

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| | seanzhang.me

Walkthrough of writing a SGEMM kernel that achieves 95% of cuBLAS performance
3.7 parsecs

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| | cprimozic.net

A detailed summary of the techniques I used to optimize my Advent of Code 2024 solution for Day 9 Part 2. Employs a variety of techniques including algorithmic shortcuts, bespoke data structures, and low-level optimizations + SIMD.
3.9 parsecs

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| | denniskubes.com


37.1 parsecs

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